Bodong Chen
#LASI2018, June 11-13, NYC
Assistant Professor in learning technologies
University of Minnesota
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git clone or Download ZIPFeel free to ask questions ANYTIME!
Gruzd, Staves, & Wilk 2012:
Obar & Wildman, 2015:

(Goggins & Petakovic, 2014)

(Goggins & Petakovic, 2014)
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AND
Learning on Social Media
(Bates; Greenhow; Siemens & Downes)
| Category | Formal attributes | Informal attributes | Social media attributes |
|---|---|---|---|
| Purpose | Externally determined | Self-determined community of interest | Self-determined socially determined |
| Process of Learning | Teacher-led (didactic) | Self-directed (negotiated); Individual agency | Self-directed; Other- influenced; Unintended network effects |
| Location/context | Time-restricted | Open-ended | Open-ended |
| Content | Knowledge acquisition; High status knowledge | Everyday practice; Status of knowledge unacknowledged | User-generated, Re-mixed; Social construction and distribution, Knowledge as collective agreement |
(Adapted from Greenhow & Lewin, 2016)
Learner-centered themes
(Greenhow et al., 2009)
(Goggins & Petakovic, 2014)
(Buckingham Shum & Ferguson, 2012)
Example: CCK08 cMOOC, Siemens

http://openlearninghub.net/ (Garnder Campbell)


#personalizedpd
Welcome to #personalizedPD Introduce yourself and one word or phrase that has described your school year? #personalizedPD pic.twitter.com/asgeckhZPL
— Heidi Carr (@carr_8) June 6, 2018
“The Marginal Syllabus convenes and sustains conversations with educators about issues of equity in teaching, learning, and education.”

Join me on the #PersonalizedPD chat tomorrow for a special discussion on #MergeCube resources! #ARVRinEDU #edtech @MergeVR pic.twitter.com/PIbZPhUqKA
— Jaime Donally (@JaimeDonally) April 23, 2018
Blog posts
At first Twitter allowed me to fill the personalized PD void and connected me with others who both challenged my thinking and inspired me to be a better educator than I was. …
Then, one glorious day, I found the #personalizedPD chat and my entire perspective changed. Instantly, I loved these people.
# Load helpful functions written by Bodong
source("utils/collect_tweets.R")
source("utils/munge_tweets.R")
# URL to the published sheet
gsheet_url <- "https://docs.google.com/spreadsheets/d/e/2PACX-1vRzuK4ltTt6jSJXYAhj-ERxvlhw3UsP5zCeCyrfXfEwNyTRu8kn_Hn8RwVewaxMPly2KcJAiciCTK_0/pub?gid=400689247&single=true&output=csv"
# Collect tweets archived in the sheet
tweets_raw <- collect_tweets_from_gdrive(gsheet_url)
# basic data cleanup (incl. removing duplicates)
tweets <- preprocess_tweets(tweets_raw)
# save cleaned data as a csv file
write_csv(tweets, path = "data/tweets.csv")
API (aka. Application Programming Interface)
# Load helpful functions written by Bodong
source("utils/collect_annotations.R")
# Collect annotations
annotations <- collect_annotations(tag = "marginalsyllabus",
token = h_token,
num = 500)
# save data as an Rdata file
save(annotations, file="data/annotations.Rdata")
Porpular formats
Contact